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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/54760


    題名: 貨櫃港口之科技選擇決策模型;Decision modeling of technology selection for container security in maritime terminals
    作者: 劉哲瑋;Liu,Jer-wei
    貢獻者: 企業管理學系碩士在職專班
    關鍵詞: 轉口流程;決策分析;貨櫃安全;影響圖;Decision-making;Influence diagram;Transshipment;Container security
    日期: 2012-07-22
    上傳時間: 2012-09-11 19:01:29 (UTC+8)
    出版者: 國立中央大學
    摘要: 從911事件之後,為了加強貨櫃運輸的安全,政府機構和民間組織設立了許多新的安全規範。雖然遵從這些安全規範可以強化貨櫃安全,但也會降低港口的作業效率。藉由導入ICT解決方案,港口能夠增加本身的安全性並且加快貨櫃運送的流程。然而對於港口的管理者來說,考慮到港口作業流程的複雜度和ICT的多樣性,選擇出適合港口的ICT解決方案是一件困難的事情。  本研究利用影響圖等相關方法,建立了一個多目標決策模型以協助港口管理者選擇最適合港口的ICT解決方案,以提升港口轉口流程的安全性。此決策模型不僅可以考量到不確定因素的影響和決策者的風險態度,並能配合各港口的作業策略與決策者偏好,綜合衡量安全性、作業效率喊建置成本等目標,計算出各解決方案的效用值,依此來推論出對於港口的最佳選擇。最後,本研究利用一個案來驗證決策模型的實用性,並透過敏感度分析測試模型的穩定性。Since the terrorist attacks on the United States on September 11th 2001, many government initiatives, regulations and mandates have introduced new requirements for container security. Implementation of information technology could help container terminal to achieve required security improvement. However, selecting suitable technology solutions is a challenging task for port authority because port processes are complicated and technological alternatives are divergent.In this paper, a decision-making framework for evaluating technology solution alternatives for transshipment processes in maritime terminals was developed. The objective of this framework is to provide an approach for decision makers to select an optimal technology solution for security improvement in container terminal with respect to the operational strategies of port authority. This approach consists of a multistage influence diagram modeling the terminal’s sequential technology selection decisions. The influence diagram graphically describes the elements of the decision process and takes into account the preferences of decision makers under conditions of uncertainty. The solution procedure of framework is illustrated with a case study and a sensitivity analysis is performed to test the robustness of the decision model.
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